Capotorto Rossella, Ronca Vincenzo, Sciaraffa Nicolina, Borghini Gianluca, Di Flumeri Gianluca, Mezzadri Lorenzo, Vozzi Alessia, Giorgi Andrea, Germano Daniele, Babiloni Fabio, Aricò Pietro
Department of Anatomical, Histological, Forensic and Orthopedic Sciences, Sapienza University of Rome, Rome, Italy.
BrainSigns srl, Rome, Italy.
Front Neuroinform. 2024 Sep 17;18:1409322. doi: 10.3389/fninf.2024.1409322. eCollection 2024.
In operational environments, human interaction and cooperation between individuals are critical to efficiency and safety. These states are influenced by individuals' cognitive and emotional states. Human factor research aims to objectively quantify these states to prevent human error and maintain constant performances, particularly in high-risk settings such as aviation, where human error and performance account for a significant portion of accidents.
Thus, this study aimed to evaluate and validate two novel methods for assessing the degree of cooperation among professional pilots engaged in real-flight simulation tasks. In addition, the study aimed to assess the ability of the proposed metrics to differentiate between the expertise levels of operating crews based on their levels of cooperation. Eight crews were involved in the experiments, consisting of four crews of Unexperienced pilots and four crews of Experienced pilots. An expert trainer, simulating air traffic management communication on one side and acting as a subject matter expert on the other, provided external evaluations of the pilots' mental states during the simulation. The two novel approaches introduced in this study were formulated based on circular correlation and mutual information techniques.
The findings demonstrated the possibility of quantifying cooperation levels among pilots during realistic flight simulations. In addition, cooperation time is found to be significantly higher ( < 0.05) among Experienced pilots compared to Unexperienced ones. Furthermore, these preliminary results exhibited significant correlations ( < 0.05) with subjective and behavioral measures collected every 30 s during the task, confirming their reliability.
在操作环境中,人与人之间的互动与合作对于效率和安全至关重要。这些状态会受到个体认知和情绪状态的影响。人因研究旨在客观地量化这些状态,以防止人为错误并保持稳定的表现,特别是在航空等高风险环境中,人为错误和表现占事故的很大一部分。
因此,本研究旨在评估和验证两种用于评估参与真实飞行模拟任务的专业飞行员之间合作程度的新方法。此外,该研究旨在评估所提出的指标根据机组人员的合作水平区分其专业水平的能力。八支机组参与了实验,其中包括四支由经验不足的飞行员组成的机组和四支由经验丰富的飞行员组成的机组。一名专家培训师,一方面模拟空中交通管理通信,另一方面作为主题专家,在模拟过程中对飞行员的心理状态进行外部评估。本研究中引入的两种新方法是基于循环相关和互信息技术制定的。
研究结果表明,在实际飞行模拟中量化飞行员之间的合作水平是可能的。此外,发现经验丰富的飞行员之间的合作时间明显高于经验不足的飞行员(<0.05)。此外,这些初步结果与任务期间每30秒收集的主观和行为测量结果显示出显著相关性(<0.05),证实了它们的可靠性。